Triple
T12833090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuva Republic |
E306835
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ak-Dovurak
Ak-Dovurak is a small mining city in southern Siberia, Russia, known for its asbestos deposits and location within the Tuva Republic.
|
E1004762
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ak-Dovurak | Statement: [Tuva Republic, hasCity, Ak-Dovurak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ak-Dovurak Context triple: [Tuva Republic, hasCity, Ak-Dovurak]
-
A.
Aknalich
Aknalich is a village in western Armenia notable for its proximity to Lake Aknalich and its location within the country’s agriculturally rich Ararat plain.
-
B.
Azdak
Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
-
C.
Aligudarz
Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
-
D.
Akrar
Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
-
E.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ak-Dovurak Triple: [Tuva Republic, hasCity, Ak-Dovurak]
Generated description
Ak-Dovurak is a small mining city in southern Siberia, Russia, known for its asbestos deposits and location within the Tuva Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ak-Dovurak Target entity description: Ak-Dovurak is a small mining city in southern Siberia, Russia, known for its asbestos deposits and location within the Tuva Republic.
-
A.
Aknalich
Aknalich is a village in western Armenia notable for its proximity to Lake Aknalich and its location within the country’s agriculturally rich Ararat plain.
-
B.
Azdak
Azdak is a shrewd, unorthodox village judge whose rough-edged wisdom and sense of justice drive the central conflict in Bertolt Brecht’s play "The Caucasian Chalk Circle."
-
C.
Aligudarz
Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
-
D.
Akrar
Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
-
E.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb0bb208190bdc4d3dc7909be06 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed8d20081908e0fb5262b354cab |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f6908cb8ec8190855b217c13a51f16 |
completed | May 3, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6917688508190ae5a64494eaadce7 |
completed | May 3, 2026, 12:06 a.m. |
Created at: April 9, 2026, 5:34 p.m.